FLUID Raises $10 Million Ahead of AI Quant-Based Crypto Liquidity Aggregation System Launch

Leading ultra-low latency liquidity aggregatory FLUID today announced it had raised $10 million to launch AI quant-based crypto liquidity aggregation system.

FLUID Raises $10 Million

A game-changer for the digital assets industry in liquidity aggregation, FLUID offers high throughput, ultra-low latency, and costs in addition to zero counterparty risk by leveraging artificial intelligence (AI) quant-based solutions.

Today, FLUID announced it had secured $10 million in its latest funding round that was led by some of the most influential and reputable blockchain investors such as GSR, Ghaf Capital, and 21Shares.

Notably, the new shot of funds will be used toward realizing FLUID’s vision for connected liquidity by providing users access to industry-leading real-time pricing, and liquidity for small venues such as exchanges, by lowering spreads and latency.

FLUID is committed to push the envelope when it comes to the way liquidity works in the rapidly developing blockchain and virtual assets industry. FLUID’s proprietary smart order book provides high throughput at extremely low fees and minimal latency by using machine learning and quantitative-based methodologies that are typically used in the high-frequency trading world.

A Team of Seasoned Bankers

For the uninitiated, the FLUID team comprises seasoned ex-bankers and fintech experts from Bank of America, Goldman Sachs, BlackRock, and Jefferies.

FLUID aims to eliminate inefficiencies caused by fragmented liquidity which today is a multi-trillion dollar market problem facing the crypto industry. At the same time, FLUID will also enhance liquidity across spot trading, derivatives, futures, synthetics, tokenized assets, and security token offerings.

Over time, FLUID seeks to establish itself as the future of liquidity aggregation and resolve the aforementioned issue. In turn, FLUID’s offerings will vastly benefit DeFi, CeFi, NFTs, and other tokenized assets across retail and institutional verticals.

It’s worthy of note that FLUID’s AI quant-based engine is the system’s core and is being developed by FLUID’s CTO, Jason Jiang who boasts of more than 23 years of experience at Goldman Sachs and BlackRock with a focus on developing quant-based high-frequency models for trading on liquidity aggregators in traditional finance and most recently, digital markets.

Commenting on the development, Ahmed Ismail, President & CEO, FLUID, noted:

“We are delighted to have the backing of top institutional investors, partners, and the involvement of a world-class dedicated team to build our AI quant-based crypto liquidity aggregation system. The current technology used to aggregate virtual liquidity is many years behind that used by mainstream hedge funds and trading desks at traditional financial institutions, leading to high fees and high latency in the crypto industry. FLUID will transform the virtual assets industry by solving a number of combined challenges that arise from fragmented liquidity which remain unresolved today. In effect, we provide retail and institutional investors access to a secure, robust framework for participation in the virtual assets market.”

Notably, FLUID is eyeing a May 2022 launch. Individuals keen on learning more about FLUID can click here.